Computer Vision System for the Detection of Inclusions in Plastic Components with the Use of 3D Models
Year: 2025
Type: article
Abstract: The article presents the concept of a system for the detection of inclusions, which are defects appearing as local discolorations on the surface of plastic components manufactured using high-pressure injection molding. This system is a part of a broader optical quality control system for polymer components, which also includes geometric inspection. Inclusions can be effectively detected as areas of non-uniform brightness. However, as the first step the object edges must be excluded from the analyzed image. The edge image is determined based on CAD models of the manufactured components, and the proposed reference pair method ensures precise alignment of the edge mask with the image of the inspected product. The algorithm was implemented in the prototype of a modular quality control system. After appropriate parameter tuning, all inclusions in the test dataset were successfully detected, with the false alarm rate maintained at a level acceptable for industrial applications.
Source: Pomiary, Automatyka, Robotyka
DOI: 10.14313/par_257/93
Authors: AGH Akademia Górniczo-Hutnicza, Katedra Automatyki i Robotyki, al. Mickiewicza 30, 30-059 Kraków, Paweł Rotter, Maciej Klemiato, Dawid Knapik, Maciej Rosół, Grzegorz Putynkowski, Centrum Badań i Rozwoju Technologii dla Przemysłu S.A., ul. L. Waryńskiego 3A, 00-645 Warszawa
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414379831
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